Hassainia F, Petit D, Nielsen T, Gauthier S, Montplaisir J
Centre d'ètude du Sommeil, Hôpital du Sacré-Coeur, Montréal, Canada.
Eur Neurol. 1997;37(4):219-24. doi: 10.1159/000117446.
Statistical probability mapping was used to quantify and localize EEG differences between 27 patients with Alzheimer's disease (AD) and 25 age- and gener-matched controls. Differences in mean activity in four EEG frequency bands (delta, theta, alpha, beta) for wakefulness and for REM sleep were examined, t-statistic maps clearly highlighted common pattern anomalies in AD patients in the two states. More specifically, Alzheimer patients were more affected than control subjects in parieto-temporal and frontal regions. These differences were more prominent in REM sleep and consisted primarily in an increase in absolute delta and theta activities, and a decrease in absolute alpha and beta activities. Discriminant analysis, using a ratio of slow over fast frequencies, yielded a classification rate of 90.4% (sensitivity 81.5%, specificity 100%) for REM sleep. For wakefulness, the same measure allowed correct classification of 80.8% of the subjects (sensitivity 66.7%, specificity 96%).
统计概率映射用于量化和定位27名阿尔茨海默病（AD）患者与25名年龄及性别匹配的对照者之间的脑电图差异。研究了清醒和快速眼动睡眠状态下四个脑电图频段（δ波、θ波、α波、β波）的平均活动差异，t统计量图清楚地突出了两种状态下AD患者常见的模式异常。更具体地说，阿尔茨海默病患者在颞顶叶和额叶区域比对照者受影响更大。这些差异在快速眼动睡眠中更为明显，主要表现为绝对δ波和θ波活动增加，以及绝对α波和β波活动减少。使用慢频率与快频率之比的判别分析，快速眼动睡眠的分类率为90.4%（敏感性81.5%，特异性100%）。对于清醒状态，相同的测量方法能正确分类80.8%的受试者（敏感性66.7%，特异性96%）。
